Matt Greig1, James Naylor1. 1. Sports Injuries Research Group, Department of Sport & Physical Activity, Edge Hill University, Lancashire, UK.
Abstract
BACKGROUND: Agility is a fundamental performance element in many sports, but poses a high risk of injury. Hierarchical modelling has shown that eccentric hamstring strength is the primary determinant of agility performance. PURPOSE: The purpose of this study was to investigate the relationship between knee flexor and extensor strength parameters and a battery of agility tests. STUDY DESIGN: Controlled laboratory study. METHODS: Nineteen recreational intermittent games players completed an agility battery and isokinetic testing of the eccentric knee flexors (eccH) and concentric knee extensors (conQ) at 60, 180 and 300°·s-1. Peak torque and the angle at which peak torque occurred were calculated for eccH and conQ at each speed. Dynamic control ratios (eccH:conQ) and fast:slow ratios (300:60) were calculated using peak torque values, and again using angle-matched data, for eccH and conQ. The agility test battery differentiated linear vs directional changes and prescriptive vs reactive tasks. RESULTS: Linear regression showed that eccH parameters were generally a better predictor of agility performance than conQ parameters. Stepwise regression showed that only angle-matched strength ratios contributed to the prediction of each agility test. Trdaitionally calculated strength ratios using peak torque values failed to predict performance. Angle-matched strength parameters were able to account for 80% of the variation in T-test performance, 70% of deceleration distance, 55% of 10m sprint performance, and 44% of reactive change of direction speed. CONCLUSIONS: Traditionally calculated strength ratios failed to predict agility performance, whereas angle-matched strength ratios had better predictive ability and featured in a predictive stepwise model for each agility task. LEVEL OF EVIDENCE: 2c.
BACKGROUND: Agility is a fundamental performance element in many sports, but poses a high risk of injury. Hierarchical modelling has shown that eccentric hamstring strength is the primary determinant of agility performance. PURPOSE: The purpose of this study was to investigate the relationship between knee flexor and extensor strength parameters and a battery of agility tests. STUDY DESIGN: Controlled laboratory study. METHODS: Nineteen recreational intermittent games players completed an agility battery and isokinetic testing of the eccentric knee flexors (eccH) and concentric knee extensors (conQ) at 60, 180 and 300°·s-1. Peak torque and the angle at which peak torque occurred were calculated for eccH and conQ at each speed. Dynamic control ratios (eccH:conQ) and fast:slow ratios (300:60) were calculated using peak torque values, and again using angle-matched data, for eccH and conQ. The agility test battery differentiated linear vs directional changes and prescriptive vs reactive tasks. RESULTS: Linear regression showed that eccH parameters were generally a better predictor of agility performance than conQ parameters. Stepwise regression showed that only angle-matched strength ratios contributed to the prediction of each agility test. Trdaitionally calculated strength ratios using peak torque values failed to predict performance. Angle-matched strength parameters were able to account for 80% of the variation in T-test performance, 70% of deceleration distance, 55% of 10m sprint performance, and 44% of reactive change of direction speed. CONCLUSIONS: Traditionally calculated strength ratios failed to predict agility performance, whereas angle-matched strength ratios had better predictive ability and featured in a predictive stepwise model for each agility task. LEVEL OF EVIDENCE: 2c.
Authors: Daniel D Cohen; Bingnan Zhao; Brian Okwera; Martyn J Matthews; Anne Delextrat Journal: Int J Sports Physiol Perform Date: 2014-09-05 Impact factor: 4.010
Authors: Damian J Harper; Alistair J McBurnie; Thomas Dos' Santos; Ola Eriksrud; Martin Evans; Daniel D Cohen; David Rhodes; Christopher Carling; John Kiely Journal: Sports Med Date: 2022-05-29 Impact factor: 11.928
Authors: Márk Váczi; Gábor Fazekas; Tamás Pilissy; Alexandra Cselkó; Lukasz Trzaskoma; Balázs Sebesi; József Tihanyi Journal: Eur J Appl Physiol Date: 2022-01-22 Impact factor: 3.078